Dinora Normakhammadova

About Dinora Normakhammadova

I’m a Senior Data Engineer with over six years of experience turning complex data challengesinto practical, business-ready solutions. My expertise spans SQL, Python, Azure Data Factory,Synapse, Databricks, Snowflake, dbt, PySpark, SSIS, and Power BI, with a strong trackrecord of building scalable pipelines, optimising performance, and enabling real-time analytics. I enjoy working at the intersection of technology and strategy, where streamlined data processesdrive actionable insights and smarter decisions.Throughout my career, I’ve helped organizations cut costs by up to 30% and improve efficiencyby 40% through cloud migrations, advanced data models, and automation strategies. I thrive incollaborative, fast-moving environments, leading teams to solve tough data problems withcreativity and precision.Key Contributions:End-to-End Data Engineering: Built and optimized pipelines with Azure Data Factory,boosting reliability and reducing processing time for mission-critical workflows.Cloud Modernization & Cost Savings: Migrated on-premises systems to Azure andSnowflake, lowering storage costs by 30% while increasing system performance by 50%.Analytics & Insights: Developed automated reports and dashboards in Power BI andTableau, delivering real-time visibility that supported faster, data-driven decisions.Leadership & Mentorship: Guided teams in designing scalable data warehousesolutions with Synapse, while mentoring junior engineers and fostering a culture ofgrowth and innovation.I’m dedicated to continuous learning and advancing modern data practices, with a passion forleading projects that bring together people, processes, and technology to deliver measurableimpact.

Experience

1. Senior Data Engineer

   EY

   Jan 2022 — Present · FL, US

   Delivered major improvements in ETL processes and data reliability, achieving a 45%efficiency boost and reducing costs by 25% across Azure and AWS platforms. Led 5+ large-scale data migration projects, ensuring data security and compliance whilesupporting multiple client engagements.Utilized Azure Databricks (PySpark), Apache Spark, and Python to process and analyzeAzure Data Lake datasets, improving analysis performance by 25%. Designed and implemented CI/CD pipelines using Azure DevOps, Terraform, Docker, andGitHub/GitLab, embedding automated testing to cut deployment times by 22% and streamlinerelease cycles. Executed data modeling for data warehousing (Kimball & Inmon), applying DimensionalModeling with Erwin Data Modeler, dbt, and SQL (T-SQL/ANSI SQL) to build Star andSnowflake schemas, improving query efficiency by 30% and enabling 20% faster reporting. Developed and optimized Azure Data Factory v2 pipelines with Data Flows and IntegrationRuntime, alongside Azure Synapse Analytics and AWS Glue, boosting processing speed by45% and pipeline reliability by 40%. Built advanced BI dashboards and reports in Power BI, SSRS, and Tableau, leveragingDAX, SQL, and custom visuals to deliver real-time insights for stakeholders. Established Azure-based Data Centers with ADF, Databricks (PySpark/Scala), ADLSGen2, Synapse, U-SQL, GitHub, and Spark, enhancing data processing by 40% and cuttingcosts by 25%. Automated cloud operations with Python scripting for AWS EC2, S3, Lambda, andKubernetes, increasing deployment speed by 40% and improving reliability by 30%. Orchestrated pipelines with Apache Airflow across multi-cloud environments, integratingwith Snowflake to streamline transformations and enable scalable analytics.

Education

• Samarkand State Institute of Foreign Languages

  Bachelor’s Degree, Teaching English as a Second or Foreign Language/ESL Language Instructor